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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
variables: list<item: struct<key: string, label: string, unit: string>>
stations: list<item: struct<name: string, block_no: string, lat: double, lon: double, elev: double, region: string>>
mean: list<item: double>
std: list<item: double>
context: int64
horizon: int64
first_start: timestamp[s]
last_start: timestamp[s]
start_step_hours: int64
n_starts: int64
linear_features: int64
model: string
split: struct<train: list<item: timestamp[s]>, valid: list<item: timestamp[s]>, test: list<item: timestamp[s]>>
slp_offset: double
vs
valid: struct<method: list<item: string>, variable: list<item: string>, lead: list<item: int64>, metric: list<item: string>, value: list<item: double>, n: list<item: int64>>
test: struct<method: list<item: string>, variable: list<item: string>, lead: list<item: int64>, metric: list<item: string>, value: list<item: double>, n: list<item: int64>>
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1868, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 803, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 662, in write_rows_on_file
                  table = pa.concat_tables(self.current_rows)
                File "pyarrow/table.pxi", line 6268, in pyarrow.lib.concat_tables
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              variables: list<item: struct<key: string, label: string, unit: string>>
              stations: list<item: struct<name: string, block_no: string, lat: double, lon: double, elev: double, region: string>>
              mean: list<item: double>
              std: list<item: double>
              context: int64
              horizon: int64
              first_start: timestamp[s]
              last_start: timestamp[s]
              start_step_hours: int64
              n_starts: int64
              linear_features: int64
              model: string
              split: struct<train: list<item: timestamp[s]>, valid: list<item: timestamp[s]>, test: list<item: timestamp[s]>>
              slp_offset: double
              vs
              valid: struct<method: list<item: string>, variable: list<item: string>, lead: list<item: int64>, metric: list<item: string>, value: list<item: double>, n: list<item: int64>>
              test: struct<method: list<item: string>, variable: list<item: string>, lead: list<item: int64>, metric: list<item: string>, value: list<item: double>, n: list<item: int64>>
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1879, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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text
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weather-transformer 予測プラットフォーム用データ

気象庁の地上観測(151地点、1時間値)から学習した時空間分離型 Transformer の予測を、画面で表示するためのデータです。

  • pred/YYYYMMDDHH.bin 2021〜2024年の開始時刻(6時間ごと)からの48時間予測(float16 (48,151,7) + uint8 (48,151) 降水確率×255)
  • obs/YYYY-MM.bin 実測値(float16 (時間,151,8)、無効は NaN、8番目は日中フラグ)
  • clim/DDD.bin 平年値、linear.bin 線形モデルの重み、meta.json 地点と変数、metrics.json 期間全体の成績
  • 海面気圧は float16 の精度のため「値−1000」で保存しています。

出典: 気象庁ホームページ「過去の気象データ・ダウンロード」(https://www.data.jma.go.jp/risk/obsdl/)の観測値を加工して作成。海岸線は Natural Earth。

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